Transformer-based Vulnerability Detection in Code at EditTime: Zero-shot, Few-shot, or Fine-tuning? - Aaron Chan; Anant Kharkar; Roshanak Zilouchian Moghaddam; Yevhen Mohylevskyy; Alec Helyar; Eslam Kamal; Mohamed Elkamhawy; Neel Sundaresan (CoRR, 2023)

A Framework for Automated Measurement of Responsible AI Harms in Generative AI Applications. - Ahmed Magooda; Alec Helyar; Kyle Jackson; David Sullivan; Chad Atalla; Emily Sheng; Dan Vann; Richard Edgar; Hamid Palangi; Roman Lutz; Hongliang Kong; Vincent Yun; et al. (CoRR, 2023)

Rule Based Rewards for Language Model Safety. - Tong Mu; Alec Helyar; Johannes Heidecke; Joshua Achiam; Andrea Vallone; Ian Kivlichan; Molly Lin; Alex Beutel; John Schulman; Lilian Weng (NeurIPS, 2024)

Deliberative Alignment: Reasoning Enables Safer Language Models. - Melody Y. Guan; Manas Joglekar; Eric Wallace; Saachi Jain; Boaz Barak; Alec Helyar; Rachel Dias; Andrea Vallone; Hongyu Ren; Jason Wei; Hyung Won Chung; Sam Toyer; et al. (CoRR, 2024)

OpenAI o1 System Card. - Aaron Jaech; Adam Kalai; Adam Lerer; Adam Richardson; Ahmed El-Kishky; Aiden Low; Alec Helyar; Aleksander Madry; Alex Beutel; Alex Carney; Alex Iftimie; Alex Karpenko; et al. (CoRR, 2024)

From Hard Refusals to Safe-Completions: Toward Output-Centric Safety Training. - Yuan Yuan; Tina Sriskandarajah; Anna-Luisa Brakman; Alec Helyar; Alex Beutel; Andrea Vallone; Saachi Jain (CoRR, 2025)